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* ✨ feat(llm): 新增 Grok 适配器及 API 密钥重置指令 - 新增 Grok 适配器并支持原生推特检索工具 `x_search` - 优化 DeepSeek 适配器以迁移至 Responses 协议,增强多模态支持 - 在 LLM 管理插件中新增 `llm reset` 子命令以重置 Key 状态 - 增强 MCP 连接异常处理及流关闭容错能力 * 🚨 auto fix by pre-commit hooks --------- Co-authored-by: webjoin111 <455457521@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
172 lines
5.4 KiB
Python
172 lines
5.4 KiB
Python
"""
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LLM 适配器工厂类
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"""
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from __future__ import annotations
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import fnmatch
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from typing import Any, ClassVar
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import httpx
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from zhenxun.services.ai.core.exceptions import ConfigurationException
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from zhenxun.services.ai.core.models import ModelIdentity
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from .base import BaseAdapter, RequestData
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class LLMAdapterFactory:
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"""适配器注册与按 API 类型分发的统一入口。"""
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_adapters: ClassVar[dict[str, BaseAdapter]] = {}
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_api_type_mapping: ClassVar[dict[str, str]] = {}
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@classmethod
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def initialize(cls) -> None:
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"""初始化默认适配器"""
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if cls._adapters:
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return
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from .deepseek import DeepSeekAdapter
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from .doubao import DoubaoAdapter
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from .gemini import GeminiAdapter
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from .glm import GLMAdapter
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from .grok import GrokAdapter
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from .jina import JinaAdapter
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from .mimo import MiMoAdapter
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from .minimax import MiniMaxAdapter
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from .openai import OpenAIAdapter, OpenAIResponsesAdapter
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from .openrouter import OpenRouterAdapter
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cls.register_adapter(OpenAIAdapter())
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cls.register_adapter(OpenAIResponsesAdapter())
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cls.register_adapter(OpenRouterAdapter())
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cls.register_adapter(DeepSeekAdapter())
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cls.register_adapter(JinaAdapter())
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cls.register_adapter(GeminiAdapter())
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cls.register_adapter(GLMAdapter())
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cls.register_adapter(SmartAdapter())
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cls.register_adapter(MiMoAdapter())
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cls.register_adapter(MiniMaxAdapter())
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cls.register_adapter(DoubaoAdapter())
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cls.register_adapter(GrokAdapter())
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@classmethod
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def register_adapter(cls, adapter: BaseAdapter) -> None:
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"""注册适配器"""
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adapter_key = adapter.api_type
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cls._adapters[adapter_key] = adapter
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for api_type in adapter.supported_api_types:
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cls._api_type_mapping[api_type] = adapter_key
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@classmethod
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def get_adapter(cls, api_type: str) -> BaseAdapter:
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"""获取适配器"""
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cls.initialize()
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adapter_key = cls._api_type_mapping.get(api_type)
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if not adapter_key:
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raise ConfigurationException(
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f"不支持的API类型: {api_type}",
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details={
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"api_type": api_type,
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"supported_types": list(cls._api_type_mapping.keys()),
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},
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)
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return cls._adapters[adapter_key]
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@classmethod
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def list_supported_types(cls) -> list[str]:
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"""列出所有支持的API类型"""
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cls.initialize()
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return list(cls._api_type_mapping.keys())
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@classmethod
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def list_adapters(cls) -> dict[str, BaseAdapter]:
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"""列出所有注册的适配器"""
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cls.initialize()
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return cls._adapters.copy()
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def get_adapter_for_api_type(api_type: str) -> BaseAdapter:
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"""按 API 类型获取适配器实例。"""
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return LLMAdapterFactory.get_adapter(api_type)
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def register_adapter(adapter: BaseAdapter) -> None:
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"""向工厂注册新的适配器实例。"""
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LLMAdapterFactory.register_adapter(adapter)
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class SmartAdapter(BaseAdapter):
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"""
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智能路由适配器。
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本身不处理序列化,而是根据规则委托给 OpenAIAdapter 或 GeminiAdapter。
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"""
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@property
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def log_sanitization_context(self) -> str:
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"""返回智能路由适配器的默认日志清洗上下文。"""
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return "openai_request"
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_ROUTING_RULES: ClassVar[list[tuple[str, str]]] = [
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("*nano-banana*", "gemini"),
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("*gemini*", "gemini"),
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("*deepseek*", "deepseek"),
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("*minimax*", "minimax"),
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("*grok*", "grok"),
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("*gpt*", "openai_responses"),
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]
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_DEFAULT_API_TYPE: ClassVar[str] = "openai"
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def __init__(self):
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"""初始化模型名到目标适配器的路由缓存。"""
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self._adapter_cache: dict[str, BaseAdapter] = {}
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@property
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def api_type(self) -> str:
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"""适配器主类型标识。"""
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return "smart"
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@property
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def supported_api_types(self) -> list[str]:
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"""当前适配器支持的 API 类型列表。"""
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return ["smart"]
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def _get_delegate_adapter(self, identity: ModelIdentity) -> BaseAdapter:
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"""
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核心路由逻辑:决定使用哪个适配器 (带缓存)
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"""
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if identity.api_type and identity.api_type != "smart":
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return get_adapter_for_api_type(identity.api_type)
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model_name = identity.model_name
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if model_name in self._adapter_cache:
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return self._adapter_cache[model_name]
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target_api_type = self._DEFAULT_API_TYPE
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model_name_lower = model_name.lower()
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for pattern, api_type in self._ROUTING_RULES:
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if fnmatch.fnmatch(model_name_lower, pattern):
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target_api_type = api_type
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break
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adapter = get_adapter_for_api_type(target_api_type)
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self._adapter_cache[model_name] = adapter
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return adapter
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async def prepare_payload(
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self, identity: ModelIdentity, api_key: str, request: Any
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) -> RequestData:
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adapter = self._get_delegate_adapter(identity)
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return await adapter.prepare_payload(identity, api_key, request)
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async def parse_payload(
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self, identity: ModelIdentity, request: Any, raw_response: httpx.Response
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) -> Any:
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adapter = self._get_delegate_adapter(identity)
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return await adapter.parse_payload(identity, request, raw_response)
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